Prof. Dr. Luciano Serafini

Fondazione Bruno Kessler, Trient, Italien

Contextualized Knowledge Repository: Theory and Practice

Zusammenfassung

Representation of context dependent knowledge in the Semantic Web is becoming a recognized
issue and a number of DL-based formalisms have been proposed in this regard:
among them, in our previous works we introduced the Contextualized Knowledge Repository
(CKR) framework. In this frameworks contexts are organized hierarchically according to a
broader-narrower relation, and information propagation across contexts were limited among
contexts hierarchically related. In several applications, however, these features result to be a
limitation, and motivated by the need for a more flexible and scalable representation. The
original formulation of the CKR has evolved into a version (based on OWL-RL profile), were
contexts can be organized in any structure (declared in a OWL-RL meta-knowledge) and
propagation of information can be specified among any pair of contexts, via a new "eval-incontext"
that allow to evaluate a concept in a first context and import the result in a second
one. In this talk, we will introduce the initial proposal of CKR and its generalization of CKR,
we present a forward reasoning algorithm. Finally, we outline the current implementation of
the calculus on top of SPRINGL, an extension of standard RDF triple store to deal with
names RDF graphs + rules.

Vortragender

Luciano Serafini received his Master degree in Information Science from University of Milan in 1988. In October 1988 he joined ITC-IRST (Istituto per la Ricerca Scientifica e Technologica,now Fondazione Bruno Kessler) as a junior researcher. His research interests include artificial intelligence, logic for knowledge representation and multi agent systems, semantic web, ontologies, information integration, and automated reasoning.<br><br>
Luciano Serafini has published influential works in the most important international journals and conferences (his current H-index is 33). The most important scientific contribution of his career is the development of a logic of contexts called "Multi Context Systems" which has
been applied in the area of formalization of multi-agent systems, information integration, semantic matching and modular ontologies.<br><br>
He is currently leading the Data and Knowledge Management (DKM), a research unit at FBK, composed of 14 people, which doing research and projects in Knowledge acquisition,knowledge representation, and reasoning services.